**Group presentation** TK Elevator \- Welcome to the future of urban mobility. At TK Elevator we strive to make cities the best places to live, advancing an industry that moves more than 1 billion people every day. With customers in over 100 countries served by more than 50,000 employees, service is at the heart of our business. The company has more than 1,000 locations around the world that form an extensive network that ensures proximity to customers. During the last decades, TK Elevator has established itself as one of the world's leading lift companies. As a market and innovation leader, we drive sustainable and efficient mobility with our broad product portfolio. As a manufacturer of lifts, freight elevators, escalators, moving walks, platform lifts, stair lifts and boarding bridges, you will find us, for example, in the One World Trade Center building in New York, in the Shanghai Financial Centre, in the Berlin TV Tower and in almost every airport. **Who we are** We are elevator people! With customers in over 100 countries and more than 50,000 employees, service is at the heart of our business. Through our digital solutions such as the **MAX IoT Platform** and the **Common Data Platform (CDP)**, we’re transforming how elevators are maintained, connected, and managed worldwide. You’ll join our **Data Strategy \& Platform** team in Madrid, contributing to the **CDP Nexus project**, which builds the data and AI foundation for TK Elevator’s global digital transformation. **What we expect** * Support the development and monitoring of **data pipelines** built in **Azure Data Factory** and **Databricks**. * Assist in **data exploration, troubleshooting**, and **root cause analysis** for ingestion or transformation issues. * Contribute to the creation and maintenance of **Databricks Notebooks** for data transformation, cleansing, and quality checks. * Build and improve **Power BI dashboards** that enable insights for business and operations teams. * Support the definition and implementation of **data quality rules** and validation logic. * Collaborate closely with Data Engineers, Data Architects, and Data Product Owners on CDP\-related initiatives. **Who we are looking for** * Enrolled in a Bachelor’s or Master’s program in **Computer Science, Data Engineering, Data Analytics, or related fields**. * Basic knowledge of **SQL, Python, Power BI**, and interest in **Azure Data Services** (Data Factory, Databricks, Data Lake). * Curious mindset and eagerness to **learn how modern data platforms** operate in real\-world industrial settings. * Structured and analytical approach to problem solving. * Fluent in English; Spanish is a plus. **Contact** Please, send your application in English. **What we offer** * Work on a global, cloud\-native **Azure Data Platform** at scale. * Hands\-on experience with **Databricks, Power BI, and Azure Data Factory**. * International team environment and close collaboration with colleagues from Germany, Brazil, and India. **Additional information** At TKE we are committed to a corporate culture that values and is committed to diversity. We understand that different cultures, professional profiles, nationalities or gender enrich us and allow us to work together and achieve excellence. We are adhered to the world compact and the United Nations Declaration of Human Rights. TK Elevator is a forward\-thinking company where people can find the freedom to broaden their horizons and become part of a company that is diverse, exciting, innovative and, on top of all, stable. We have created a work environment that fosters respect, tolerance and diversity, where people can grow professionally and work in teams passionate about transforming the industry. We are a company committed to people, society and the planet. Aligning our business success with attention to the needs of our social environment and the planet makes our brand even stronger and more sustainable. Our commitment goes from respecting our regulations and codes of conduct to our social policies in favour of integration, diversity and conciliation. Job Reference: ES\_ET\_EA\_IBA\_TKE00760